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Record W6925283933 · doi:10.17895/ices.pub.21957017.v1

Temperature and Density-Dependent Effects on the Size-at-Age of Haddock (Melanogrammus aeglefinus) on the Scotian Shelf

2001· report· en· W6925283933 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2001
Typereport
Languageen
FieldComputer Science
TopicParallel Computing and Optimization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsHaddockNova scotiaLinear regressionSeasonalityRegression analysis

Abstract

fetched live from OpenAlex

Declining trends in weight-at-age of adult haddock were observed in NAFO Div. 4VW on the eastern Scotian Shelf off Nova Scotia from survey data collected between 1970 and 1996. The rate of decline was relatively slow through the 1980s but increased rapidly near the mid-1980s. Since then, the weights-at-age have remained low, approximately 30-40% of the pre-1980s observations. Correspondingly, temperatures in the eastern Shelf declined gradually during the early 1980s, decreased rapidly in the mid-1980s and were near their long-term minimum values in the 1990s. Regression analysis revealed that temperature accounted for 67% of the variation in the weight-at-age of seven year-old haddock. Higher growth was associated with warmer periods. Predictions of weight-at-age 7 haddock during the late 1940s to 1970 were made from available temperature data. The predicted weights showed very good agreement with published weights from the commercial fishery. The relationship between weights-at-age 7 with spawning stock biomass (SSB) shows two distinct periods. Prior to 1985, there was a negative relationship with SSB suggesting density-dependent growth. During the post-1985 period when extreme cold conditions prevailed, the relationship was positive. Finally, the regression model was used to predict the weights-at-age for the years 1997 to 2000. While temperatures warmed during this period and an increase in growth was predicted, this was not observed. The continued low growth is suggested to be related to the earlier maturity that has been observed during the late 1990s.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.806
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.258
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2001
Admission routes1
Has abstractyes

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